3D Face Biometrics
Faces are a widely used biometric. 2D face recognition has limitations and recent attention has considered 3D face representations. 3D face recognition research at Bath has considered the development of expression robust feature sets, 3D landmarking and noise reduction. The papers below provide further details of recent work.
· J. Gao, A. N. Evans, Expression Robust 3D Face Landmarking Using Thresholded Surface Normals, Pattern Recognition, In press, January 2018, https://doi.org/10.1016/j.patcog.2018.01.011.
· M. Emambakhsh and A.N. Evans, Nasal Patches and Curves for Expression-robust 3D Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(5) pp. 995-1007, May 2017. doi: 10.1109/TPAMI.2016.2565473.
· Jiangning Gao; Evans, A.N., Expression robust 3D face recognition by matching multi-component local shape descriptors on the nasal and adjoining cheek regions, in Proc. IEEE 11th Automatic Face and Gesture Recognition, vol.1, no., pp.1-8, 4-8 May 2015. doi: 10.1109/FG.2015.7163144
· M. Emambakhsh, J. Gao and A.N. Evans, Noise Modelling for Denoising and 3D Face Recognition Algorithms Performance Evaluation, IET Computer Vision, 9(5) pp.741-749, October 2015. doi: 10.1049/iet-cvi.2014.0379
· J. Gao, M. Emambakhsh and A.N. Evans, A Low Dimensionality Expression Robust Rejector for 3D Face Recognition, in Proc. 22nd International Conference on Pattern Recognition, Stockholm, Sweden, pp. 506-511, August 2014. doi: 10.1109/ICPR.2014.96
· M. Emambakhsh, J. Gao and A.N. Evans, An Evaluation of Denoising Algorithms for 3D Face Recognition, in Proc. IET 5th International Conference on Imaging for Crime Detection and Prevention, page 1.03, December 2013.
· M. Emambakhsh, A.N. Evans and M. Smith, Using Nasal Curves Matching for Expression Robust 3D Nose Recognition, in Proc. IEEE Biometrics: Theory, Applications and Systems (BTAS 2013), October 2013.
· M. Emambakhsh and A.N. Evans, Self-dependent 3D Face Rotational Alignment Using the Nose Region, in Proc. IET 4th International Conference on Imaging for Crime Detection and Prevention (ICDP-11), November 2011.
Prof Mel Smith, The Machine Vision Laboratory, University of the West of England